NTT Data Life Sciences Consultant Interview Questions and Answers

Q1. Difference between fact and figure.
Ans. 
Fact is a statement that can be proven true or false, while figure is a numerical value or statistic.
• Fact is a statement that can be verified or proven true or false.

• Figure is a numerical value or statistic.

• Facts are objective and can be verified through evidence or research.

• Figures are quantitative data used to represent information.

• Example: 'The sky is blue' is a fact, while 'The average temperature is 25 degrees Cel
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Q2. Explain data modelling
Ans. 
Data modelling is the process of creating a visual representation of data to understand its structure, relationships, and patterns.
• Data modelling involves identifying entities, attributes, and relationships in a dataset.

• It helps in organizing data in a way that is easy to understand and analyze.

• Common data modelling techniques include Entity-Relationship (ER) diagrams and UML diagrams.

• Data modelling is essential for da...read more
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Q1. ML and deep learning questions
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Q1. Projects discussion
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Q2. Chatgpt architecture
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(51+52+53+......+100) =

Q1. M.s excel , red hat ,
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Q2. Introdution M.s word
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Q3. Linux , git , mavel , nexus.
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Q4. Sonar cube , aws , super putty.
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Good execellnt and well done

Q1. Tell me your self
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Q2. Tell me why cogniznt
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Q1. Details of interview person and family details and address and personal information and other study performance Ramya mother father brother Borigama inchoda
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Q1. How to do work yours
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Q2. Hiw to do spend time
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1. There were two coding problems from leetcode (1 easy and 1 mediam).
2. One was machine learning problem having hingh weightage. They given a data and we have to make a linear regression model on data and submit prediction.

Q1. It was a technical interview . Mostly focussed on data science machine learning alogorithms. Also do prepare case studies.
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Q2. Explain Random forest. What is gini impurity.
Ans. 
Random forest is an ensemble learning method that constructs a multitude of decision trees and outputs the mode of the classes. Gini impurity is a measure of impurity or randomness used in decision trees.
• Random forest is a collection of decision trees that are trained on different subsets of the data.

• Each decision tree in the forest is trained on a random subset of the features.

• The final prediction is made by taking th...read more
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Q3. One coding question (best time to buy and sell stock leetcode easy version).
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Q4. One case study data science senario based case study.
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Q1. Explain projects related to machine learning and sql
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